pivmet
Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Collection of pivotal algorithms for: relabelling the MCMC chains in order to undo the label switching problem in Bayesian mixture models; fitting sparse finite mixtures; initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution. For further details see Egidi, Pappadà, Pauli and Torelli (2018b)<ISBN:9788891910233>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6.0 |
rolling linux/jammy R-4.5 | pivmet_0.6.0.tar.gz |
221.2 KiB |
0.6.0 |
rolling linux/noble R-4.5 | pivmet_0.6.0.tar.gz |
221.4 KiB |
0.6.0 |
rolling source/ R- | pivmet_0.6.0.tar.gz |
156.6 KiB |
0.6.0 |
latest linux/jammy R-4.5 | pivmet_0.6.0.tar.gz |
221.2 KiB |
0.6.0 |
latest linux/noble R-4.5 | pivmet_0.6.0.tar.gz |
221.4 KiB |
0.6.0 |
latest source/ R- | pivmet_0.6.0.tar.gz |
156.6 KiB |
0.6.0 |
2026-04-26 source/ R- | pivmet_0.6.0.tar.gz |
156.6 KiB |
0.6.0 |
2026-04-23 source/ R- | pivmet_0.6.0.tar.gz |
156.6 KiB |
0.6.0 |
2026-04-09 windows/windows R-4.5 | pivmet_0.6.0.zip |
226.8 KiB |
0.6.0 |
2025-04-20 source/ R- | pivmet_0.6.0.tar.gz |
156.6 KiB |